Update docs (#2222)

docs/components/embedders/config.mdx

@@ -1,15 +1,19 @@
-## What is Config?
+---
+title: Configurations
+icon: "gear"
+iconType: "solid"
+---
 
 Config in mem0 is a dictionary that specifies the settings for your embedding models. It allows you to customize the behavior and connection details of your chosen embedder.
 
-## How to Define Config
+## How to define configurations?
 
 The config is defined as a Python dictionary with two main keys:
 - `embedder`: Specifies the embedder provider and its configuration
   - `provider`: The name of the embedder (e.g., "openai", "ollama")
   - `config`: A nested dictionary containing provider-specific settings
 
-## How to Use Config
+## How to use configurations?
 
 Here's a general example of how to use the config with mem0:
 

docs/components/embedders/overview.mdx

@@ -1,5 +1,7 @@
 ---
 title: Overview
+icon: "info"
+iconType: "solid"
 ---
 
 Mem0 offers support for various embedding models, allowing users to choose the one that best suits their needs.

docs/components/llms/config.mdx

@@ -1,10 +1,12 @@
-## What is Config?
+---
+title: Configurations
+icon: "gear"
+iconType: "solid"
+---
 
-Config in mem0 is a dictionary that specifies the settings for your llms. It allows you to customize the behavior and connection details of your chosen llm.
+## How to define configurations?
 
-## How to Define Config
-
-The config is defined as a Python dictionary with two main keys:
+The `config` is defined as a Python dictionary with two main keys:
 - `llm`: Specifies the llm provider and its configuration
   - `provider`: The name of the llm (e.g., "openai", "groq")
   - `config`: A nested dictionary containing provider-specific settings

docs/components/llms/overview.mdx

@@ -1,5 +1,7 @@
 ---
 title: Overview
+icon: "info"
+iconType: "solid"
 ---
 
 Mem0 includes built-in support for various popular large language models. Memory can utilize the LLM provided by the user, ensuring efficient use for specific needs.

docs/components/vectordbs/config.mdx

@@ -1,10 +1,12 @@
-## What is Config?
+---
+title: Configurations
+icon: "gear"
+iconType: "solid"
+---
 
-Config in mem0 is a dictionary that specifies the settings for your vector database. It allows you to customize the behavior and connection details of your chosen vector store.
+## How to define configurations?
 
-## How to Define Config
-
-The config is defined as a Python dictionary with two main keys:
+The `config` is defined as a Python dictionary with two main keys:
 - `vector_store`: Specifies the vector database provider and its configuration
   - `provider`: The name of the vector database (e.g., "chroma", "pgvector", "qdrant", "milvus","azure_ai_search")
   - `config`: A nested dictionary containing provider-specific settings

docs/components/vectordbs/overview.mdx

@@ -1,5 +1,7 @@
 ---
 title: Overview
+icon: "info"
+iconType: "solid"
 ---
 
 Mem0 includes built-in support for various popular databases. Memory can utilize the database provided by the user, ensuring efficient use for specific needs.